Full-Band Signal Extraction From Sensors in Extreme Environments: The NASA InSight Microseismometer
Full-Band Signal Extraction From Sensors in Extreme Environments: The NASA InSight Microseismometer
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DOI：
10.1109/jsen.2018.2871342
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发表时间：
2018-11
影响因子：
4.3
通讯作者：
A. Stott;C. Charalambous;T. Warren;W. Pike
中科院分区：
文献类型：
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作者：
A. Stott;C. Charalambous;T. Warren;W. Pike
从部署在极端环境中的传感器中提取物理上有意义的信号需要结合使用去相关技术衰减干扰输入和去除其残余。在物理衰减资源有限的空间应用中，有必要采用最有效的后处理分析。介绍了即将部署在火星表面的微机电系统微地震仪的地震信号提取方法。该信号处理覆盖了1 \ × 10^{-5}$ Hz至40 Hz的全带宽，采用了一种新颖的传感器融合应用，通过间接卡尔曼滤波结合微地震仪的热模型来消除温度在频率范围内的地震贡献。由于全波段去相关，分析（基于在类似场景下的着陆前测试）产生了微地震仪的特征和火星上信息检索的信号处理方法，以及其他行星和地球行星部署。
Physically meaningful signal extraction from sensors deployed in extreme environments requires a combination of attenuation of confounding inputs and the removal of their residual using decorrelation techniques. In space applications where the resources for physical attenuation are limited, there is a necessity to apply the most effective post-processing analysis available. This paper describes the extraction of the seismic signal from an MEMS microseismometer to be deployed on the surface of Mars. The signal processing, which covers the full bandwidth $1 \times 10^{-5}$ Hz to 40 Hz, uses a novel application of sensor fusion through an indirect Kalman Filter in combination with a thermal model of the microseismometer to remove the aseismic contribution of temperature over the frequency range. Owing to the full-band decorrelation, the analysis (based on pre-landing testing in analogous scenarios) produces both a characterization of the microseismomter and a signal processing approach for information retrieval on Mars, along with other planetary and terrestrial planetary deployments.